Methods and apparatus for modeling, monitoring, estimating and controlling power consumption in battery-operated devices

ABSTRACT

A remote battery-operated device operates in accordance with a first set of operating parameters. During operation, power consumption information is generated and transmitted via a data network to a remote location for later use. In one embodiment, the remote location transmits one or more modified parameters back to the battery-operated device which control subsequent operation of the device. In this manner, power consumption within the device may be controlled to achieve a predetermined or desired operating lifetime.

CROSS-REFERENCE TO RELATED APPLICATIONS

This patent application is related to:

U.S. patent application Ser. No. 12/402,379 entitled “METHODS ANDAPPARATUS FOR MODELING, SIMULATING, ESTIMATING AND CONTROLLING POWERCONSUMPTION IN BATTERY-OPERATED DEVICES” filed on Mar. 11, 2009; and

U.S. patent application Ser. No. 12/402,367 entitled “METHODS ANDAPPARATUS FOR MODELING, MONITORING, SIMULATING AND CONTROLLING POWERCONSUMPTION IN BATTERY-OPERATED DEVICES” filed on Mar. 11, 2009;

which are both hereby incorporated by reference.

TECHNICAL FIELD

The present invention relates generally to battery-operated remotecommunication devices, and more particularly, to methods and apparatusfor modeling and controlling power consumption in battery-operatedcommunication devices.

BACKGROUND

Battery-operated communication devices are becoming increasinglycomplex. Added and more diverse capabilities and functionality result inthe need for increased power. Increased power consumption results inshorter battery life. This is even more important in mobile unmanneddevices in which batteries are not easily replaced or re-chargeable.

U.S. Pat. No. 7,266,389 relates to power management by allocating powerto elements of a device needed for specific applications. U.S. Pat. No.7,260,728 distributes shares of power to specific tasks as part of apower management policy.

Accordingly, there is a need for methods and apparatus for powermanagement in battery-operated devices to model, monitor and reducepower consumption, thereby increasing battery life in order to extenduseful operation of the device.

SUMMARY

In accordance with one embodiment, there is provided a method forcontrolling power consumption in a battery-operated device comprising abattery, a processor and memory. The method includes operating thebattery-operated device in accordance with a set of operatingparameters; monitoring operation of the battery-operated device andgenerating power consumption data; and sending the generated powerconsumption data to a remote location.

In a further embodiment, the method above includes receiving at leastone modified operating parameter from the remote location and storing inthe memory, and operating the battery-operated device in accordance withthe at least one modified operating parameter.

In accordance with another embodiment, there is provided abattery-operated device having a battery for supplying power to thedevice, memory operable for storing a set of operating parameters, and aprocessor. The processor is configured to: operate the battery-operateddevice in accordance with the set of operating parameters, monitoroperation of the battery-operated device and generate power consumptiondata, and send the generated power consumption data to a remotelocation.

In a further embodiment, the processor is further configured to receiveat least one modified operating parameter from the remote location andstoring in the memory, and operate the battery-operated device inaccordance with the at least one modified operating parameter.

In yet another embodiment, there is provided a global position system(GPS) tracking device including a battery for supplying power to thedevice; memory configured to store a set of operating parameters; a GPSmodule configured and operable for receiving communication signals fromone or more GPS satellites and calculating location information of thedevice; a network communications module configured to transmit andreceive communications between a data network and the device; and aprocessor. The processor is operable for: operating the battery-operateddevice in accordance with the set of operating parameters, monitoringoperation of the battery-operated device and generating powerconsumption data, and sending, via the network communications module,the generated power consumption data to a remote location.

In a further embodiment, the processor is operable for: sending, via thenetwork communications module, the location information to a remotelocation, receiving at least one modified operating parameter from theremote location receiving the power consumption data and storing in thememory, and operating the battery-operated device in accordance with theat least one modified operating parameter.

Other technical features may be readily apparent to one skilled in theart from the following figures, descriptions, and claims.

BRIEF DESCRIPTION OF THE DRAWINGS

For a more complete understanding of the present disclosure, and theadvantages thereof, reference is now made to the following descriptionstaken in conjunction with the accompanying drawings, wherein likenumbers designate like objects, and in which:

FIG. 1 is a block diagram illustrating a tracking or monitoring systemfor use with a battery-operated device in accordance with the presentdisclosure;

FIG. 2 is a flowchart illustrating an example state diagram inaccordance with the present disclosure;

FIG. 3 is a block diagram of a server or computer-based processingsystem in accordance with the present disclosure;

FIGS. 4A through 4D depicted four example windows or pages within agraphical user interface of the server;

FIG. 5 is a flow diagram illustrating a method performed within thesystem shown in FIG. 1 in accordance with the present disclosure;

FIG. 6 is a more detailed flow diagram illustrating the simulationprocess and determination of a set of operating parameters (initialconfiguration) set forth in FIG. 5;

FIG. 7 is a more detailed diagram illustrating the process formonitoring and collecting historical power consumption data as set forthin FIGURE;

FIG. 8 is a more detailed flow diagram illustrating the simulationprocess and determination of a final set of operating parameters(re-configuration) as set forth in FIG. 5; and

FIG. 9 is a more detailed flow diagram illustrating the process forre-configuring the device 102 (for controlling power consumption) as setforth in FIG. 5.

DETAILED DESCRIPTION

FIG. 1 is a block diagram illustrating one system 100 in which theteachings and principles of the present disclosure may be incorporatedor utilized within and are applicable for a battery-operated device. Oneexample of such a battery-operated device is a Global Positioning System(GPS) tracking device that has the ability to transmit GPS data over awireless network. GPS data is used to determine the exact location ofthe battery-operated device (which is mounted or attached to equipmentbeing monitored). In one specific example, the GPS tracking deviceincludes a location/position module (for determining location/positioninformation such as GPS data) and a wireless communications modem orradio (e.g., a Global System for Mobile/General Packet Radio Service(GSM/GPRS) module) to transmit the location information (e.g., GPS data)to a remote communications device (e.g., host server). Through thecombination of such a GPS module and the GSM/GPRS module, the GPStracking device can both obtain GPS data as well as transmit the GPSdata wirelessly to the remote server. Various GPS tracking devices mayincorporate or include some of the methods and apparatus describedherein, and a typical device suitable for modification and/or use in thesystem are available from Enfora, Inc. (Richardson, Tex.) underdifferent part/model numbers, including GSM 2228, GSM 2218 and GSM 2238.

The system 100 is shown as a GPS tracking system that includes a GPStracking device 102 and one or more GPS satellites 104. The system 100also includes various remote communications devices, such as a basestation 106 and a host server (or computer processing system) 108, thatcommunicate with the GPS tracking device 102 through atelecommunications network 110. Though the embodiments described hereinillustrate an example GPS tracking device 102, the methods and apparatusdescribed herein may be applied to, or utilized with, otherbattery-operated devices. For tracking or monitoring equipment (or otherenvironmental attributes in the location of the equipment), the deviceis adapted for mounting to or inclusion in such equipment (e.g., amobile or stationary structure or device), sometimes referred to as anasset (i.e., asset tracking and monitoring).

The GPS tracking device 102 includes a processor (e.g., controller) 120,a wireless network module 122 (such as a GSM/GPRS/EDGE modem), a GPSmodule 124, one or more sensors 126, memory 128, and a power source 130,such as a battery. Various different types (e.g., lithium-ion,nickel-cadmium, etc.), physical sizes and/or capacities (power ratings)of batteries may be used, and the battery 130 may be chosen based on thedesired application. Once chosen, the power capacity becomes known. Inone embodiment, the battery 130 is non-rechargeable and is permanent (ormay possibly be replaceable), and in another embodiment the battery 130is rechargeable, and in either may be a primary cell battery or asecondary cell battery.

The memory 128 may include and store various data and settings 118,including programmable operating parameters. The device 102 may includea real-time clock and other components for providing additionalfunctionality. The one or more sensors 126 may include sensors thatmeasure/sense motion, temperature, velocity, presence or absence of aparticular element, or include other functionality for performing anyother task.

The GPS module 124 (including a GPS receiver, not shown) receivessatellite communications from one or more GPS satellites 104 andcalculates GPS position/location information. One example of a suitableGPS module (which includes a GSM module) is available from Enfora, Inc.under part number LPP0108. In a different embodiment, other locationdetermining methods may be used, such as position triangulation usingone or more base stations or other reference points. The wirelessnetwork (or communications) module or modem 122 (including atransceiver, not shown) provides wireless communication functionalitybetween the GPS tracking device 102 and the base station 106 and/or hostserver 108, including transmitting position/location information, suchas GPS data, to a remote device (e.g., host server or computerprocessing system 108). Wireless network module 122 may use anytechnology including, but not limited to, code division multiple access(CDMA), global system for mobile (GSM) communications, worldwideinteroperability for microwave access (WiMAX), or any other wirelessstandard. One example of a suitable communications module is availablefrom Enfora, Inc. under part number GSM0308. In other embodiments, themodule 122 may be a network interface for wired communications.

As will be described in more detail below, power management andconsumption information, as well as device operating parameters, arealso communicated between the host server 108 and the GPS trackingdevice 102.

The network 110 may include one or more local area networks (“LAN”),metropolitan area networks (“MAN”), wide area networks (“WAN”), all orportions of a global network, or any other communication system orsystems at one or more locations, or combination of these, including thepublic switched telephone network (PSTN), Internet, packet networks andthe like.

The system 100 shown in FIG. 1 is for illustration purposes only. Otherembodiments of the system 100 may be used without departing from thescope of this disclosure. Other components, devices or networks may beincluded in the system 100, and FIG. 1 only illustrates but oneexemplary configuration to assist in describing the system and operationof apparatus and methods described herein to those skilled in the art.The system represented in FIG. 1 may be described using differentnomenclature or system terminology, and the use of any givennomenclature to describe a device within the system 100 is not intendedto limit the scope of this disclosure.

In general terms, and in one embodiment, the present disclosure providespower consumption modeling and control for battery-operated devices.Power consumption of a device, using the GPS tracking device 102 as anillustrative example, can be modeled using a state diagram, where eachstate (representing an operational condition, such as a defined task,process, event or function) consumes a predetermined or predictableamount of power. Entry and exit conditions represent transitions betweenstates that occur upon an event, and likewise consume power. In thepower consumption model, each state is represented as requiringpredetermined power for one or more specific periods of time. The periodof time is based upon both configured parameters (e.g., GPS Acquisitiontimeouts) and environmental conditions (e.g., access to GPS satellites),and the instantaneous power requirements are based upon both measuredvalues (e.g., power consumption in Idle State) and site specific values(e.g., distance to cellular tower). Entry and exit conditions for eachstate are utilized to simulate an operational environment and batterylife expectancy can be calculated (projected) based on variousprogrammable (and non-programmable) operating parameters. While theamount of power consumed in each state and during a state transition maynot be determined exactly, knowledge of the components and operationsperformed during each state or transition allow a theoretical (orpredictable or predetermined) power consumption value to be generated.Results from direct measurement of power consumption duringtesting/design may also be used to generate the theoretical powerconsumption value(s).

In another embodiment, operational monitoring (historical data) ofstates and state transitions within the GPS tracking device 102 allowsfor an “observed” real-time calculation of the power consumed (i.e.,battery usage) by the device. Since each state or state transition (ortask/event) has associated therewith a theoretical power consumptionvalue representing the amount of power consumed by that event (or timespent executing each event), an event total power value can becalculated based on the number of times each event occurs in the timeperiod of interest, and/or may also be calculated based on the totaltime duration spent in executing each event. Overall total powerconsumption can be determined. The raw operational data (or a calculatedvalue of the amount of power consumed based on the raw data) istransmitted to a remote device (e.g., server 108). In another embodiment(not shown), a coulomb counter or other power measuring device or methodmay be used to determine power consumption for specific components ormodules within the GPS tracking device 102 or for the overall device,which is transmitted to the host server 108.

In another embodiment, the historical operational data received from theGPS tracking device 102 at the server 108 is utilized to determine theamount of power consumed from the device's battery, and hence, theremaining power capacity in the battery life (i.e., the battery'soriginal power capacity minus the power consumed). From this, thebattery life expectancy can be calculated based on the currentlyprogrammed operating parameters—e.g., how long will the battery lastbased on the device's current operating parameters. The number and/ortime within each state or state transition can also provide additionalinformation to analyze or assess the device's performance. Based on thereceived information, the server 108 can (automatically or with userinput) program or modify the device's operating parameters that willaffect or change its future power consumption (or rate of consumption).

This capability enhances the underlying power consumption modeldescribed herein and allows for the operational situation observed atthe device location to be utilized to recalculate and modifyconfigurable operational parameters of the device to affect subsequentdevice operation. Device behavior and operation can be changed to modifythe battery life of the device, both to meet new operationalrequirements and to reflect unexpected operational environments.

In another embodiment, the server 108 includes a graphical userinterface (GUI) or graphical representation of battery use underuser-defined usage scenarios. A user can dynamically alter an underlyingmodel of power consumption by varying operational parameters and/orexpected environmental conditions for device operation. The combinationof GUI and server 108 enhances the underlying power consumption modeldescribed herein and allows a user to explore a large number of deviceconfiguration options, and the effect of these modifications on batteryusage and life (power consumption) prior to device placement in thefield. The server 108 includes functionality for automaticallyconfiguring the device to parameters as configured (through the userinterface), for automatically modifying the device power consumptionmodel based upon actual location or site behavior, modification ofoperational parameters, or modifications to the state machine (e.g.,disabling GPS reporting in the absence of GPS acquisition), and forallowing a user to reconfigure the device using observed environmentalconditions and battery capacity consumed to create a new set ofoperating parameters to customize and change the device's remainingbattery life. Though other user interfaces may be utilized with theserver 108, a GUI provides simplified input and easily viewed andunderstood graphical representations of the known and calculated data.

In yet another embodiment, the battery-operated device may function as arelay device or gateway for other remote battery-powered devices. Thisrelay device or gateway receives power consumption or battery capacityinformation from the remote battery-operated devices via a wireline orwireless communication path and transmits the information to anothercommunications device (e.g., server 108). In another embodiment, therelay device or gateway may include additional functionality to processthe information and change or modify operating parameters of the remotedevice, or otherwise control its operation.

Now referring to FIG. 2, there is shown a state diagram 200 illustratingvarious operating states and transitions between states for the GPStracking device 102. This diagram models operation of the device 102 andillustrates one example of how state diagrams may be used to modeldevice operation with a focus on power consumption. It is understoodthat the specific configuration (number, function) of the states (andtransitions representing entry and exit conditions) in the state diagramwill depend on the desired operation and functionality of thebattery-operated device, such as the GPS tracking device 102. Differenttypes of battery-operated devices 102 (and different applications) willexhibit different states and state diagrams. Each state represents adefined task, process, function, operational condition or event (eachcan be referred to as an “event”) consumes a predetermined orpredictable amount of power. Entry and exit conditions representtransitions between states and are associated with a defined task,process, event or function of the relevant state(s), and may consumepower. Parameters and variables related to the entry/exit conditions areprogrammable (and the state machine may also be modifiable, such as whenone state is bypassed entirely). Depending on the values, an expectedbattery life (depending on the battery's specifications) can becalculated.

The state diagram 200 includes a number of different states, includingan IDLE state 210, a MOTION SENSOR state 220, a GPS FIX state 230, aWAIT FOR OUTSIDE GEOFENCE state 240, a MODEM CONNECT state 250, and aDATA TRANSFER state 260. Each state represents an operational conditionof the GPS tracking device 102 in which one or more predeterminedfunction(s) or task(s) are performed. As will be appreciated, the numberof states in the state diagram 200 may be more or less—depending on thedesired functionality of the device 102.

A transition from one state to another state occurs in response to adetected event (or events), activity, or condition. Examples includetimeouts, motion, position, periodic checks, or a successful (orunsuccessful) process, function or task, and the like. Entry and exitscenarios are definable based on time events, detected activity,predicted performance or completion of specific tasks or operations.

The IDLE state 210 is a state in which all or substantially all of thecomponents in the device 102 are powered down or idle (e.g., idle orsleep state/mode). While in this state, power consumption may be low,and the device 102 consumes a predetermined or predicted amount of powerper unit time (IDLE state power consumption value).

The MOTION SENSOR state 220 is a state in which the device 102 performsa low power motion monitoring process, including activating/polling themotion sensor 126. While in this state, power consumption may berelatively low, and the device 102 consumes a predetermined or predictedamount of power per unit time (MOTION SENSOR state power consumptionvalue).

The GPS FIX state 230 is a state in which the device 102 performs alocation determining process, including activating and operating the GPSmodule 124 to acquire signals for determining the device's locationusing GPS. In this state, power consumption may be appreciable, and thedevice 102 consumes a predetermined or predicted amount of power (GPSFIX state power consumption value).

The WAIT FOR OUTSIDE GEOFENCE state 240 is state in which the device 102waits for a period of time until a certain event occurs based on anelapsed time (timeout) and/or device position. In this state, GPSfunctionality remains active and geographic coordinates are calculated.Power consumption may be appreciable, and the device 102 consumes apredetermined or predicted amount of power (WAIT FOR OUTSIDE GEOFENCEstate power consumption value). It will be understood that certainapplications may not require a geofence determination process and maysimply track the location of the device 102 periodically or as polledand the calculation of actual location information may be done in thisstate or in the GPS FIX state.

The MODEM CONNECT state 250 is a state in which the device 102 performsa communications connection function to connect to a remote device,including activating and operating the GSM module 122 to initiate andsetup a data communications connection or path between the device 102and a remote device (e.g., a wireless base station or server). In thisstate, power consumption may be appreciable, and the device 102 consumesa predetermined or predicted amount of power (MODEM CONNECT state powerconsumption value).

The DATA TRANSFER state 250 is a state in which the device 102 transfersdata (or receives data) via the communications connection or pathestablished in the MODEM CONNECT state, including activating andoperating the GSM module 122 to transfer or receive data between device102 and a remote device (e.g., wireless base station 1106 or server108). In this state, power consumption may be appreciable, and thedevice 102 consumes a predetermined or predicted amount of power (DATATRANSFER state power consumption value).

The following description illustrates one example of various transitionsbetween states in the state diagram 200 for a GPS tracking device 102that can be used to calculate or track power consumption in thebattery-operated GPS tracking device 102. As previously noted, theconfiguration (e.g., number, type) of states, the transitioning (e.g.,number, type) between states, and the task(s) or process(es) (e.g.,number, type) performed in a particular state may be different andvaried, depending on the desired application. As described furtherbelow, the calculations of power consumption and calculated remainingbattery life depend on device settings and/or network-related settingsthat are fixed and/or programmable and environmental factors (e.g., GPSsatellite acquisition time, wireless registration, or wireless signalstrength). The accuracy of these calculations may depend on thegranularity of the state diagram and knowledge of the operationalenvironment (and additional delineation of the number of tasks orprocesses within each state). In other words, by partitioning the globalfunction of the device into a larger number of distinct states and/ormore accurately modeling the operational environment (and processes ortasks within each state), the power consumption and battery lifecalculations will likely be more accurate. However, the specificformation and configuration of the state diagram model and powerconsumption values utilized or chosen for a desired application/deviceis within the discretion of the designer and may result in a tradeoffbetween accuracy and complexity.

Referring back to FIG. 2, the device 102 transitions to (enters) theIDLE state 210 upon the following conditions: (1) the device 102 (i.e.,the equipment) is stationary (not moving) and a motion timeout hasoccurred (transition from MOTION SENSOR state 220); (2) a data transfertimeout has occurred, or a data transfer is successful and when it istime for a periodic position report process to begin (transition fromDATA TRANSFER state 260); (3) a connection timeout has occurred duringthe initial communication connection process (transition from MODEMCONNECT state 250); or (4) the device 102 is inside a certain geographicboundary, known as a “geofence,” and a geofence timeout has occurred(transition from WAIT FOR OUTSIDE GEOFENCE state 240). The motiontimeout is the amount of time allowed to determine if the device 102 ismoving. The data transfer timeout is the time allowed for the wirelessnetwork module 122 to transfer date to a remote device. The periodicposition reporting is the rate at which the device's position isreported (over the wireless module 122 module to a remote device). Theconnection timeout is the time allowed for the wireless network module122 to make a communications connection with a remote device. A geofencetimeout is the time allowed to determine that the device's position isoutside a geofence.

In the IDLE state 210, the device 102 consumes a predetermined orpredicted amount of power per unit time (IDLE state power consumptionvalue). A counter, timer or other time measuring device within thedevice 102 is activated when the IDLE state 210 is entered anddeactivated when exited. This enables a determination or measurement ofthe amount of time device 102 spends in the IDLE state 210. The totaltime is maintained and stored within the memory 128. The recorded timevalue may start from initial deployment of the device 102 or from someother selected starting point. Other and/or multiple time periods, asdesired, may be tracked and stored in the memory 128. From this, powerconsumption for the IDLE state is calculated as the amount of time spentin IDLE state (during the relevant time period) multiplied by the IDLEstate power consumption value. In most cases, the time period duringwhich the amount of time within the IDLE state 210 is tracked occursfrom the initial deployment or redeployment of the device 102 (if thebattery is not rechargeable), or in case the battery is rechargeablefrom the point in time the battery is recharged, to the present time.

When in the IDLE state 210, the amount of time elapsed is recorded. Thedevice 102 remains in this state and transitions from (exits) the IDLEstate 210 upon the following conditions: (1) it is time for a periodicmotion check (transitions to MOTION SENSOR state 220); or (2) it is timefor a periodic GPS check or a periodic position report (transition toGPS FIX state 230). As a result, the device 102 includes functionalityfor measuring the amount of time spent in the IDLE state 210 (IDLE statetime) and may include functionality for calculating IDLE state powerconsumption based on the IDLE state power consumption value.Alternatively, the IDLE state time information may be transmitted andprocessed externally to determine the IDLE state power consumption. Theperiodic motion check is the time to wait before testing the motionsensor for sensed movement. The periodic GPS check is the rate at whichthe device's position is checked against the geofence, regardless of themotion sensor process.

Referring again to FIG. 2, the device 102 transitions to (enters) theMOTION SENSOR state 220 upon the following condition: (1) it is time fora periodic motion check (transition from IDLE state 210).

In the MOTION SENSOR state 220, the device 102 consumes a predeterminedor predicted amount of power per unit time or event (MOTION SENSOR statepower consumption value). Similar to the IDLE state 210, a counter,timer or other time or event measuring device is activated when thestate is entered and/or deactivated when exited. The total time ornumber of events is maintained and stored within the memory 128. Fromthis, power consumption for the MOTION SENSOR state 220 is calculated asthe amount of time spent in the MOTION SENSOR state or number of events(during the relevant time period) multiplied by the MOTION SENSOR statepower consumption value.

When in the MOTION SENSOR state 220, the amount of time elapsed and/ornumber of times in this state is recorded. The device 102 remains inthis state and transitions from (exits) the MOTION SENSOR state 220 uponthe following conditions: (1) the device 102 is not moving and a motiontimeout has occurred (transition to IDLE state 210); or (2) the deviceis moving, or it is time for a periodic GPS check or a periodic positionreport (transition to GPS FIX state 230).

Still referring to FIG. 2, the device 102 transitions to (enters) theGPS FIX state 230 upon the following conditions: (1) it is time for aperiodic GPS check or a periodic position report (transition from IDLEstate 210); or (2) the device is moving, or it is time for a periodicGPS check or a periodic position report (transition from MOTION SENSORstate 220).

In the GPS FIX state 230, the device 102 consumes a predetermined orpredicted amount of power per unit time or event (GPS FIX state powerconsumption value). Similar to the other states, a counter, timer orother time or event measuring device is activated when the state isentered and/or deactivated when exited. The total time and/or number ofevents is maintained and stored within the memory 128. From this, powerconsumption for the GPS FIX state 230 is calculated as the amount oftime spent or number of events (during the relevant period) multipliedby the GPS FIX state power consumption value.

When in the GPS FIX state 230, the amount of time elapsed and/or numberof times in this state is recorded. The device 102 remains in this stateand transitions from (exits) the GPS FIX state 230 upon the followingconditions: (1) valid location information is determined (transition toWAIT FOR OUTSIDE GEOFENCE state 240); or (2) a GPS fix timeout hasoccurred (transition to MODEM CONNECT state 250). The GPS fix timeout isthe time allowed to acquire a valid position for the device (e.g., usingthe GPS module).

The device 102 transitions to (enters) the WAIT FOR OUTSIDE GEOFENCEstate 240 upon the following conditions: (1) valid location informationis determined (transition from GPS FIX state 230); or (2) a datatransfer is successful and not when it is time for a periodic positionreport process to begin (transition from DATA TRANSFER state 260).

In the WAIT FOR OUTSIDE GEOFENCE state 240, the device 102 consumes apredetermined or predicted amount of power per unit time or event (WAITFOR OUTSIDE GEOFENCE state power consumption value). Similar to theother states, a counter, timer or other time or event measuring deviceis activated when the state is entered and/or deactivated when exited.The total time and/or number of events is maintained and stored withinthe memory 128. From this, power consumption for the WAIT FOR OUTSIDEGEOFENCE state 240 is calculated as the amount of time spent or numberof events (during the relevant time period) multiplied by the WAIT FOROUTSIDE GEOFENCE state power consumption value.

When in the WAIT FOR OUTSIDE GEOFENCE state 240, the amount of timeelapsed and/or number of times in this state is recorded. The device 102remains in this state and transitions from (exits) the WAIT OUTSIDEGEOFENCE state 240 upon the following conditions: (1) the device 102 iswithin the geofence (transition to IDLE state 210); or (2) the device102 is outside the geofence or it is time for a periodic position reportprocess to begin (transition to MODEM CONNECT state 250).

Still referring to FIG. 2, the device 102 transitions to (enters) theMODEM CONNECT state 250 upon the following conditions: (1) a GPS timeouthas occurred (transition from WAIT GPS FIX state 230); or (2) the device102 is outside the geofence or it is time for a periodic position reportprocess to begin (transition from WAIT FOR OUTSIDE GEOFENCE state 240).

In the MODEM CONNECT state 250, the device 102 consumes a predeterminedor predicted amount of power per unit time (MODEM CONNECT state powerconsumption value). Similar to the other states, a counter, timer orother time or event measuring device is activated when the state isentered and/or deactivated when exited. The total time and/or number ofevents is maintained and stored within the memory 128. From this, powerconsumption for the MODEM CONNECT state 250 is calculated based on theamount of time spent and/or number of events (during the relevant timeperiod) multiplied by the MODEM CONNECT state power consumption value.

When in the MODEM CONNECT state 250, the amount of time elapsed and/orthe number of times in this state is recorded. The device 102 remains inthis state and transitions from (exits) the MODEM CONNECT state 250 uponthe following conditions: (1) a communications connection is established(transition to DATA TRANSFER state 260); or (2) a connection timeout hasoccurred (transition to IDLE state 210).

The device 102 transitions to (enters) the DATA TRANSFER state 260 uponthe following condition: (1) a communications connection is established(transition from MODEM CONNECT state 250).

In the DATA TRANSFER state 260, the device 102 consumes a predeterminedor predicted amount of power per unit time and/or number of events (DATATRANSFER state power consumption value). Similar to the other states, acounter, timer or other time or event measuring device is activated whenthe state is entered and/or deactivated when exited. The total timeand/or number of events is maintained and stored within the memory 128.From this, power consumption for the DATA TRANSFER state 260 iscalculated as the amount of time spent and/or number of events (during arelevant time period) multiplied by the DATA TRANSFER state powerconsumption value.

In another embodiment, the DATA TRANSFER state power consumption valueincludes two components: transmit power consumption and receive powerconsumption. These may be calculated independently and each one has itsown power consumption value. For example, the transmit power may bebased on amount of data and the projected data rate during a transmitDATA TRANSFER.

When in the DATA CONNECT state 250, the amount of time elapsed and/orthe number of times in this state is recorded. The device 102 remains inthis state and transitions from (exits) the DATA TRANSFER state 260 uponthe following conditions: (1) a data transfer is successful and not whenit is time for a periodic position report process to begin (transitionto WAIT FOR OUTSIDE GEOFENCE state 240); or (2) a data transfer timeouthas occurred, or a data transfer is successful and when it is time for aperiodic position report process to begin (transition to IDLE state210).

For each of the states 210-260, the total time, number of events and/orcombination thereof is maintained and stored within is stored in memory128. The recorded time value and/or number of events may start frominitial deployment of the device 102 or from some other selectedstarting point. Other and/or multiple relevant time periods, as desired,may be tracked and stored in the memory 128. From this, powerconsumption for that state is calculated as the amount of time spent ornumber of events (during the relevant time period) multiplied by thatstate's power consumption value. In most cases, the time period duringwhich the amount of time or number of times within that state is trackedoccurs from the initial deployment or redeployment of the device 102 (ifthe battery is not rechargeable), or in case the battery is rechargeablefrom the point in time the battery is recharged, to the present time. Aswill be appreciated, the memory 128 may be any suitable memory, and inone embodiment, the memory 128 includes non-volatile memory, such asflash memory. In the event a rechargeable battery is utilized and thedevice 102 includes functionality for energy harvesting, the total powerconsumption may require adjustment to take into account the additionalenergy added to the rechargeable battery. One example of this is when asolar panel is connected to the rechargeable battery and a coulombcounter is monitoring the charging current. The availability ofadditional energy can be taken into account in determining the projectedoperational life of the device and/or allowing the device to bereconfigured to provide additional information. In one embodiment, thedevice 102 would include an energy harvesting device (e.g., solar panel)and a coulomb counter or other means known to those skilled in the artto count or determine the amount of power transferred or added to therechargeable battery 130. The amount of added energy can be stored inmemory of the device 102 for later use and/or transmission to the hostserver 108.

As described above, the device 102 includes functionality for measuringthe amount of time spent and/or the number of times in each state(“_state name_” state time) and may include functionality forcalculating that state's power consumption based on that state's powerconsumption value. This information and/or calculated value is stored inthe memory 128. Alternatively, each state's time and/or eventinformation may be transmitted and processed externally to determinethat state's power consumption, such as by transmitting this informationto the server 108 for storing in the memory 308 and processed.

For the relevant predetermined time period, the power consumption ofeach state is added together to arrive at a total power consumption ofthe device 102. As noted, this calculation may be performed by thedevice 102 (and stored in memory 128) or the server 108 (and stored inmemory 308).

The foregoing provides for modeling a device in a state diagram, whereeach state (and/or transition between states) in the diagram consumes apredictable amount of power. This can be used to determine powerconsumed by the device during operation (and determine remainingexpected battery life), assist in setting original operationalparameters (to achieve an expected battery life) or modifying currentoperational parameters (to change the expected battery life). Entry andexit conditions (for transitions) for each state may be modified tosimulate an operational environment, and a resulting battery lifeexpectancy may be calculated. Parameters for entry/exit conditions canbe modified in order to achieve the desired battery life (atinitialization or during device operation). For example, length oftimeouts (e.g., GPS acquisition timeouts), frequency of tasks oroperations (e.g., number to try, fails, successes may be variable orprogrammable, and the amount of data transferred from the device can bemodified to reduce transmit power requirements.

In one embodiment, for each state the power consumption(predicted/calculated) may be based on the amount of time in the stateand the power consumed per unit time for that state, such as describedabove with respect to FIG. 2. Total power consumption for the device 102may be calculated by adding the power consumption for all states.

In another embodiment, instead of recording the amount of time in eachstate, power consumption may be based on the number of times the statewas entered and/or exited (per transition) and the power consumed perentry and/or exit for that state. Only entries, only exits, or bothentries and exits, may be tracked and stored for each state. Since entryand exits for a state may be based on different operating conditions orprocesses, and thus may be associated with different amounts of power,both entries and exits might be separately tracked.

In yet another embodiment, the power consumption may be based on acombination of the two embodiments above. Some states may simply be“waiting” states that consume power based on the amount of time in thewaiting state, while other states may have their power consumption basedon the number of times the state was entered and/or exited (pertransition).

Though not shown, a state may include various tasks or operations(including attempts, failures and successes) within that state and thepower consumed may be based on the number of tasks/operations that maytake place in that state times and/or the number of times thetask/operation was attempted, failed, and/or was successfully performed.In addition, a state (such as shown in FIG. 2) itself may be partitionedto include various sub-states modeled with one or more sub-statediagrams. The sub-states would then have power consumption (per unittime, per entry/exit, per task or operations therein) associatedtherewith which would provide a total overall power consumption for thestate.

In other embodiments, the power consumed may be based on any combinationof the foregoing.

As described previously, while the amount of power consumed in eachstate and during a state transition may not be determined exactly,knowledge of the components and operations performed during each stateor transition allow a predictable or predetermined power consumptionvalue to be generated. Results from measuring power consumption duringtesting/design may also be used to generate the predetermined powerconsumption value for each state (per unit time, per entry/exit, etc.),each transition, or each task or process.

The state tracking or power consumption tracking process enabling powerconsumption (ongoing or predicted) of the device 102 to be calculated,as illustrated by the example state diagram of FIG. 2, may beimplemented within the device 102 as a state machine (discrete orprocessor-based), as a separate task or process in a multi-taskprocessing environment, or integrated within the device's operatingsystem or main functional program. The exact configuration and physicalimplementation may be chosen by those skilled in the art.

The present disclosure teaches partitioning the device's globaloperation or functioning into a plurality of states (or possiblyfunctions). Each state has associated therewith a predetermined powerconsumption value. Because the device 102 operates using a batteryhaving a rated power capacity, the operational life of the device (whenthe battery is not rechargeable) coincides with the battery's powerrating (battery life). With knowledge of the expected functioning andoperating parameters of device operation (including the rate thatcertain states, tasks or processes are performed), the operational lifeof the device 102 can be initially calculated prior to operationaldeployment. In response to this information, operating parameters andfunctions may be modified to increase (decrease) the expected batterylife, and thus the operational life of the device 102, prior todeployment.

In addition, during actual device operation in the field, bymonitoring/tracking the amount of time within a state, the number oftimes in the state, and/or the number of specific processes or tasksperformed within a state, operational power consumption for each statecan be calculated for a predetermined period of time. Each state's powerconsumption may be calculated in this manner and a total operationalpower consumption for the device 102 is determined for the predeterminedperiod of time (usually from inception/deployment to the present time).With knowledge of the calculated power consumed and the original poweravailable (battery rated power), the amount of remaining battery lifeand operational life of the device 102 is determinable. In the event theremaining operational life is less than the desired or rated life forthe device, certain operating parameters of the device 102 may bemodified in the field through wireless communications to the device 102to cause an increase in its life (time), as desired. This informationmay also be utilized to determine an approximate time to replace thedevice's battery before any power shutdown occurs.

In another embodiment, in lieu of transmitting the recorded relevantpower consumption state information (and/or up-to-date total powerconsumption information) to a remote device which, in turn, calculatesremaining life and provides operating parameters modification to thedevice 102 that changes the device's power consumption rate, the devicemay perform this process (calculations and modifications) internally.The device 102 may include functionality (not shown) to calculate itstotal power consumption periodically, as described with respect to FIG.2, calculate its remaining operational life (using stored information ofits battery's power rating), and with stored information indicating itstargeted operational life, may modify its own operational parameters toachieve this target. The calculated remaining battery life informationmay also be transmitted to the server 108 to provide notification of theend of life date which may be compared against an expected number storedin the server 108 for that device 102, and further action may be taken(as described herein).

Now referring to FIG. 3, there is shown a block diagram of the server108 (referred to generically as a computer-based processing system 300)implemented with components and software/firmware providing sufficientprocessing power, memory resources, input/output devices and networkinterface capabilities. The processing system 300 is suitable forimplementing one or more embodiments disclosed herein. The processingsystem 300 can be configured and utilized to operate and function as:(1) a conventional host server communicating with the GPS trackingdevice 102 (e.g., receiving data); (2) a power consumption estimator(for initial programming of operating parameters for the device 102);(3) a real-time power consumption monitor and adaptor (for determiningpower consumption of the deployed device 102 and adapting/reprogrammingits operating parameters); and/or (4) a graphical user interface (GUI)for representation of different device configurations (operatingparameters) and the effect of these different configurations on batterylife. It will be understood that a single processing system 300 mayinclude functionality to perform all of the above, or two or moreseparate systems 300 may be used, as desired.

The processing system 300 includes a processor 302 (which may bereferred to as a central processing unit or CPU) in communication withmemory 308, input/output (I/O) devices 306, and network connectivitydevices 304.

Memory 308 may include volatile (e.g., RAM, etc.) and or non-volatilememory (e.g., ROM, flash, hard disk drives, etc.). The memory 308 isused to store computer programs, instructions and other data. The I/Odevices 306 may include printers, video monitors, liquid crystaldisplays (LCDs), touch screen displays, keyboards, keypads, switches,dials, mice, track balls, voice recognizers, card readers, paper tapereaders, or other known input devices. The network connectivity devices304 may take the form of one or more modems, modem banks, Ethernetcards, network interface cards (NICs), universal serial bus (USB)interface cards, serial interfaces, token ring cards, fiber distributeddata interface (FDDI) cards, wireless local area network (WLAN) cards,radio transceiver cards such as code division multiple access (CDMA)and/or global system for mobile communications (GSM) radio transceivercards, and/or other known network devices. These network connectivitydevices 304 enable the processor 302 to communicate with network 114.The processor 302 executes instructions, codes, computer programs,and/or scripts accessed from memory 308 or the network connectivitydevices 304, and processes data.

The operation and structure of the processing system 300 is well-knownto those of ordinary skill in the art. The processing system 300includes the foregoing components and functionality, and no additionaldescription of the components and software processes (functionality) ofa server or processing system, other than as noted herein or relevantfor an understanding of the present disclosure, is provided, as theseare known to those of ordinary skill in the art. It will be understoodthat the processing system 300 may be constructed or configured from anysuitable hardware, software, firmware, or combination thereof forproviding the functionality known to those of ordinary skill in the art.The processing system 300 will include additional functionality orperform additional method(s) or process(es) described herein inaccordance with one or more embodiments.

The global functioning of the GPS tracking device 102 is partitionedinto a plurality of states to form a state diagram (e.g., FIG. 2). Eachstate (and/or transitions between states) represents a particularfunction or process, and each state has associated therewith a powerconsumption value. Programmable operating parameters, such as timeouts(waiting for a time period to perform a function or wait for an event tooccur), periodic checks or reports, frequency of operation and sitespecific operating parameters, such as time to acquire GPS, time toacquire wireless connection, and frequency of motion detection, definethe overall operation of the device 102. The frequency in which (andamount of time necessary to perform) tasks, checks, and reporting arescheduled to occur, the length of programmed timeouts and otheroperations affect power consumption in the device 102. For example,periodic reporting to the host server 108 at every thirty minutes versusevery sixty minutes would increase power consumption resulting fromperiodic reporting by a factor of two.

Once the state diagram is configured and power consumption values areassociated with each state or transition, this modeling can be utilizedto explore a different number of operating parameter configurations(operational profile) and the effect of these configurations on batterylife prior to deployment (using processing system 300). This enables auser to input operating parameters, process the parameters, and view thebattery life resulting from that set of operating parameters. From this,a user may select an appropriate set of operating parameters to meet acertain battery life requirement for the device 102. As will beappreciated, the term “set” may include one or more operatingparameters.

After deployment and device activation, this modeling and actualtracking (monitoring) of state and state transitions within the device102 enables real-time monitoring of power consumption (battery capacityconsumed), recalculation of remaining battery life based on thecurrently programmed operating parameters and observed conditions, andmodification of the device's operating parameters, if necessary, toachieve the desired battery life (i.e., operational life of device 102).

Now referring to FIGS. 4A through 4D, there are depicted severaldifferent example windows or pages 402, 404, 406, 408 within a GUI 400of the host server 108. The server 108 includes various processes forgenerating these GUI windows in accordance with a power optimizationapplication program (not shown) executing within the computing system300 of the server 108. In general, the GUI 400 provides a display of,and control over, various operational parameters of the device,including reporting intervals, general device behavior and deviceconfiguration parameters (as described herein), and also simulationmodels. The GUI windows are configured to enable user input and displayof variables and other information.

As shown, each window 402, 404, 406, 408 includes a frame 410 having aLoad Device field 412 for input/display of a unique device identifier(e.g., identifier for a device 102) and a plurality of buttons 414 forinitiating various actions, including Reset, Set to Default, Save and RTToggle. Each window also includes a frame 420 for enabling visualizationof certain information including battery life 422, projected batterylife 424, observed battery usage 426, and a table 430 providing valuesof total power consumed by each of a plurality of states or modes, suchas an IDLE state or mode 432, a motion detection state or mode 434, aGPS state or mode 436 and a GSM (wireless communications) state or mode438. The data in these fields is the calculated power consumption (pertime period) based on a desired set of operating parameters (i.e.,historical device information is unavailable) or the actual set ofoperating parameters of the device 102 deployed in the field. Thoughonly four are shown, fewer or additional states or modes may be includedand shown.

The default battery life is based on a theoretical power model, usingmeasured values in one or more typical operational scenarios andconfigured device parameters, the theoretical battery capability, and/orany power that may be locally available (e.g., energy harvesting).Observed battery life is determined based upon observed deviceperformance, and assumes that device parameters remain as currentlyconfigured. Projected battery life is determined based upon observedperformance, and is modified as directed by GUI manipulations.

The default battery life 422, the projected battery life 424 and theobserved battery usage 426 are shown each having a bar graph 440 and anumeric field 442 indicating a respective value for a time period (e.g.,months) or as a percentage of the default battery life, as shown. Theobserved battery usage 426 provides an indication of the total powerconsumption of a device 102 deployed (or previously deployed) in thefield. As will be appreciated, this value is the total power consumptionof the device 102 as calculated and described above (based on thedevice's power consumption data transmitted to the server 108).

Each window 402, 404, 406, 408 also includes a frame 450 having an areain which one or more variable operating parameters 452 associated withthe particular state or mode are displayed, and the GUI window isconfigured to enable user input capability to change/modify the variable(i.e., programmable) parameters 452, as shown.

As shown by FIG. 4A, the variable operating parameters 452 within theframe 450 of the window 402 includes three parameters relating to themotion detection mode: a sleep time parameter 460, an active timeparameter 462 and a sensitivity parameter 464. The sleep time parameter460 is the amount of time in the IDLE state 210 before initiating aperiodic motion check. The active time parameter 462 is the amount oftime in the MOTION SENSOR state 220 before initiating a transition tothe WAIT FOR GPS FIX state 230. The sensitivity parameter 464 is theamount of motion required to determine movement in the MOTION SENSORstate 220 Each parameter 460, 462, 464 is shown having a sliding scale466 and a numeric input/display field 468 indicating a respective valuefor that parameter. Including both the sliding scales 466 and fields 468allow a user to adjust the parameter in different manners, as known tothose skilled in the art. It will be understood, changing or modifyingthe data in one or more fields 468 within window 402 will likely changethe power consumption calculations.

Now referring to FIG. 4B, as shown, the variable operating parameters452 within the frame 450 of the window 404 includes six parametersrelating to the location monitoring mode (GPS mode): a geofence addressparameter 470, a geofence radius parameter 471, a location checkinterval parameter 472, a GPS timeout parameter 474, a geofence accuracyparameter 476, and a second GPS timeout parameter 478. The geofenceaddress parameter 470 typically identifies a point that defines thecenter location of a geofence, while the geofence radius parameter 471defines the area around the geofence address, which are used fordetermine whether the device 102 is inside or outside the geofence (inthe WAIT FOR OUTSIDE GEOFENCE state 240). The location check intervalparameter 472 defines the amount of time between GPS location checkswhen in the IDLE state 210. The GPS timeout parameter 474 defines theamount of time in the WAIT FOR OUTSIDE GEOFENCE state 240 beforedeclaring an “outside geofence” event. The geofence accuracy parameter476 defines the number of samples indicating that the device is withinthe geofence before declaring an “inside geofence” event in the WAIT FOROUTSIDE GEOFENCE state 240. The second GPS timeout parameter identifieswhat action to take when the GPS process timeouts without a fix.

Each parameter 472, 474, 476 is shown having a sliding scale 466 and anumeric input/display field 468 indicating a respective value for thatparameter (see FIG. 4B). The geofence address parameter 470 and thegeofence radius parameter 471 are shown having a numeric input/displayfield 470 a and a numeric input/display field 471 a, respectively. Thesecond GPS lock parameter 478 includes a plurality of checkboxes 479allowing selection of a particular action to be taken by the device 102when a GPS lock timeout occurs. Example actions may include (1) takingno action, (2) sending the last known position information to a remotedevice (e.g., the server 108), or (3) perform a secondary locationdetermining method (using cellular triangulation). Other suitableactions may be configured to be selected, as desired. Changing ormodifying the data in one or more fields 468 or the checkboxes 479within the window 404 will likely change the power consumptioncalculations (though changing the geofence address may or may not resultin more or less power consumption).

Now referring to FIG. 4C, as shown, the variable operating parameters452 within the frame 450 of the window 406 include two parametersrelating to the communication or reporting mode (GSM mode): a reportinginterval parameter 480 and a message content parameter 482. Thereporting interval parameter 481 defines the amount of time betweenperiodic position reports when in the IDLE state 210. The messagecontent parameter 482 defines parameters that configure the device 102to transmit measured statistical information (power consumptioninformation (raw data or the observed power estimate calculated by thedevice 102 itself)) to the host server 108. Though this provides thestatistical information to the host server 108, it also increases powerconsumption due to the need for longer data transmissions.

The parameter 482 is shown having a sliding scale 466 and a numericinput/display field 468 indicating a respective value for that parameter(see FIG. 4C). The message content parameter 472 includes a plurality ofcheckboxes 484 allowing selection of the type and content of data thatwill be reported. Examples of transmitted data include (1) motiondetection data, (2) GPS (location) data, and/or (3) GSM (communications)data. Other data may also be listed for selection, as desired. Changingor modifying the data in one or more fields 468 or the checkboxes 484within the window 404 will likely change the power consumptioncalculations.

Now referring to FIG. 4D, as shown, the variable operating parameters452 within the frame 450 of the window 408 include a plurality ofadvanced parameters for configuring additional device settings used tosimulate the operational environment of the device 102. These additionaldevice settings include: (1) GPS Acquisition parameter is the projectedtime required for a typical GPS fix; (2) Geofence Sample Rate parameteris the rate at which samples of location are extracted in the WAIT FOROUTSIDE GEOFENCE state 240; (3) Geofence Samples Taken parameter is thetypical number of location samples that are utilized to determinepresence inside a geofence in the WAIT FOR OUTSIDE GEOFENCE state 240;(4) GSM Registration parameter is the average time taken to establish aconnection in the wireless network in the MODEM CONNECT state 250; (5)GSM Registration Average Timeout parameter is the average amount of timefor the connection timeout in the MODEM CONNECT state 250; (6) GSM Datais the average amount of time spent in the DATA TRANSFER state 260; and(7) GSM Tx parameter is the average time to transmit data in the DATATRANSFER state 260.

In addition, the expected probabilities of timeout events are modeled.These probabilities include: (1) Device in Motion parameter (used insimulation) is the percentage of time motion is expected to be detectedin the MOTION SENSOR state 220; (2) % Acquisition Failure parameter(used in simulation) is the percentage of time the GPS timeout isexpected to occur WAIT FOR GPS FIX state 230; (3) % Geofence parameter(used in simulation) is the percentage of time the device is detected tobe outside the geofence in the WAIT FOR OUTSIDE GEOFENCE state 240; (4)% GSM Reg Timeout parameter (used in simulation) is the percentage oftime that a connection timeout is detected in the MODEM CONNECT state250; and (5) % GSM Data (used in simulation) is the percentage of timethat a transfer timeout occurs in the DATA TRANSFER state 260. Theseparameters are used to calculate the default battery life in the absenceof observed device parameters, and are replaced with observed parametersin order to calculate the observed battery life and projected batterylife.

It will be understood by those skilled in the art that any number,nature and type of variable operational parameters 452 may be utilizedbased on the type or functionality of the battery-operated device. Feweror additional parameters 452 may be configured than the exampleparameters shown in FIGS. 4A through 4D (and described above).

Each of the variable operational parameters are included in a set ofoperational parameters currently configured for a deployed device 102 orthat are in the process of being determined to provide an initialpre-deployment configuration for a device 102. By modifying/changing aparameter value, the power optimization application program recalculatesthe projected power consumption (and projected battery life) enablingvisualization of the impact(s) on the projected battery life caused bymodifying a parameter value. Thus, when the parameter value(s) aredynamically changed, the resulting effect on power consumption/batterylife is calculated and displayed via the GUI 400. As will beappreciated, the power optimization application program calculates theprojected power consumption and projected battery life by processing thecurrently configured parameters using a particular power model (e.g.,state diagram) applicable to the device (such as the device 102). Thispower optimization process can be done to calculate a projected batterylife (of the battery 130 within the device 102), and thus theoperational life of the device 102, prior to deployment. Parameters canbe modified to adjust the calculated power consumption to attain adesired operational life (projected battery life) for the device 102.Once a set of operational parameters is determined that meets thedesired battery life, the device 102 may be configured with theseparameters and deployed to the field (initial configuration).

Initial configuration of the parameters within the device 102 (in thesettings may be accomplished in any suitable manner, and in oneembodiment, the host server 108 programs the parameters by transmittingthem to the device 102 via wireline or wireless communications which arestored as the operational parameters settings 118 in the memory 128,thus programming certain device operations. The set of operationalparameters may also be programmed into a programmable device andincorporated into the device 102.

If the device is deployed and actual/observed power consumption anddevice id information is transmitted to the server 108, the program canprocess this information in conjunction with the known current set ofoperational parameters and calculate the projected batterylife/operational life of the device 102. The known current set ofoperational parameters may be retrieved from the server 108 (stored inmemory 308 at the time of initial configuration) or may be sent from thedevice 102 itself (stored in memory 128) to the server 108. Thiscalculation is done using the actual/observed power consumptioninformation and a calculated projected remaining life based on currentoperating parameters. For example, if the device 102 has been detectedto be in motion 1 percent of the time, while the default configurationwas 0.1 percent, a significant increase in power consumption would beobserved. If the new projected battery life is insufficient to meet thedesired operational life of the device 102, parameters can be modifiedto adjust the power consumption rate to attain the desired operationallife for the device 102. Once a set of parameters is determined, eitherthe full set or only those parameters having been modified, the device102 may be configured with these parameters in any suitable manner(deployed reconfiguration).

In one embodiment, the set of parameters are transmitted to the device102 via a communications link (wireless, wireline or combinationthereof). In one particular embodiment, the server 108 transmits theoperating parameters to the device 102 in a data packet along with oneor more commands instructing the device 102 to store the new parametersin the operating parameters settings 118 of the memory 128 (therebyreplacing one or more current parameters). Thereafter, the device 102operates in accordance with the modified parameters.

Various methods and processes will now be described as performed by theoverall system 100, the GPS tracking device 102 and/or the host server108.

Now turning to FIG. 5, there is illustrated a method or process 500(projecting, estimating and controlling power consumption of abattery-operated device) executed or performed by the system 100. Themethod 500 provides a power consumption management control process for abattery-operated device (e.g., device 102) and will be described from aninitial simulation/configuration of the GPS tracking device 102 tomonitoring/controlling power consumption in the device 102.

Initially, a power consumption model is determined based on the uniquecharacteristics and functionality of the device 102. The powerconsumption model provides the underlying means or method that enablesinitial configuration of operating parameters, monitoring of the variousprocesses/tasks/functions performed by the device 102 during operation,calculating observed power consumption, and modifying operatingparameters during device operation. To develop the power consumptionmodel, device operation and knowledge of all operable functions (andparameters that affect these functions) of the device 102 is known andutilized to create a process or state diagram corresponding to deviceoperation. All processes/tasks/functions are partitioned into separatestates and attributed a predetermined power consumption valuerepresenting an amount of power that will be consumed during executionof each of the separate states. One example of such a model is describedwith respect to FIG. 2 (and the accompanying text). In that example, thepower consumption model is represented as a state diagram havingmultiple states having entries and exits (transitions). It will beunderstood that the states and transitioning conditions are determinedbased on the functionality of the device 102. The predetermined powerconsumption values may be obtained as described previously.

As will be appreciated, after development of the power consumptionmodel, it may be implemented as a power consumption computer programwithin a computing device, such as the server 108. Persons of ordinaryskill in the art will be able to design and implement a computer programto reflect the known power consumption model of the device 102, such asfor example, utilizing the state diagram model, the predetermined powerconsumption values, and the device operating parameters (variable orfixed).

Now referring to FIG. 5, after development of a computer programimplementing the known power consumption model of the battery-powereddevice 102 (Step 502), simulation(s) of the expected or projected powerconsumption of the device 102 are performed using one or more sets ofoperating parameters (Step 504). These operational parameters may beinput directly through I/O devices of the host server 108 or may beobtained from one or more stored sets of default parameters through useof the GUI 400. Other input means and display means may be utilized. Aswill be appreciated, the relevant operational parameters may beinitially and/or continuously displayed to the user through the GUI 400(or other output device).

In one embodiment, simulation includes calculating a default batterylife based on a first set of device operating parameters and calculatinga projected battery life based on a second set of operating parameters.The projected battery life may also be referred to as the operationallife of the device 102 (based on operation powered by a particularbattery). As previously described, the first set of parameters may bebased on one or more typical operational scenarios each associated witha set of default device parameters that has been manually input orpreviously stored (in memory 308) in the host server 108. Further, thisinitial set may be retrieved from memory 128 of the device 102 through acommunications link (wire, wireless) between the device and ancommunications interface within the server 108. The default battery lifewill also depend on the power capacity of the battery 130 of the device102. Battery power capacity may be input separately using the GUI or setas one of the default device parameters.

Initially, the projected battery life will equal the default batterylife (because the first initial set of operating parameters is used toinitially calculate both). After the device has been operational for aperiod of time (as described further below), or a more accurate model ofthe device becomes available, the battery life is recalculated basedupon observed historical data (e.g., numbers of timeout event, averttime for GPS Acquisition, etc.) and the current configuration. Sincethis new model is more accurate than the original model, this “observed”battery life may differ from the default battery life, and may need tobe modified in order to operate as desired. Next, a user may modify oneor more parameters within the initial first set of parameters togenerate a second or modified set of parameters via the GUI 400(illustrated in FIGS. 4A-D), and a new projected battery life iscalculated and displayed (or otherwise output or conveyed to the user).As will be appreciated, one or more parameters may be changed prior torecalculation of the projected battery life. As operating parameters aremodified, the user sees (in the display) the effect the changedparameter(s) have on the projected battery life—thus enabling simulationof any number of different device operational scenarios for device 102.

Depending on the environmental and operational conditions, a user maydesire certain selected operating parameters to be set in such a way soas to provide a desired functionality for the device 102 (e.g.,reporting intervals, type and amount of data reported, frequency ofacquiring GPS location information, etc.). In accordance with theteachings herein, the user sets the desired operating parameters and anew projected battery life is calculated. Once determined, the projectedbattery life may be acceptable or unacceptable (i.e., meets or exceeds adesired battery life or operating life for the device). If acceptable,the current set of parameters is final and the device 102 is ready forinitial configuration. If unacceptable, one or more of the same or otherparameters may be modified. Through simulation encompassing variousiterations and recalculations using different sets of operatingparameters or modified parameter(s) (one or more), it is expected that afinal set of operating parameters will be determined which meet thedesired battery life. It will be understood that a single or multipleparameters may be modified at one time. Further, the relevantoperational parameters may be initially and/or continuously displayed tothe user through the GUI 400 (or other output device) during thisprocess. Once a final set of operating parameters is determined, thisset of parameters is associated with a unique identifier for the device102 and stored in memory 308 within the host server 108 for later use.Referring to FIG. 6, there is shown a flow diagram illustrating in moredetail the simulation process and determination of a final set ofoperating parameters, as described above (controlling powerconsumption).

The device 102 is then initially configured (programmed) with this finalor operational set of parameters (Step 506) which are stored in thesettings 118 portion of the memory 128. The process of initiallyconfiguring the device 102 may be implemented or accomplished in anysuitable manner, including those described previously. It will beunderstood that device 102 may be configured (programmed) with a defaultset of operating parameters (may be deemed the initial parameters), suchas during manufacturing of the device, and configuring the device mayinclude replacing the entire set of default parameters with the finalset of operating parameters or replacing only those default parametersthat have been modified during the simulation.

In another embodiment, the device 102 may be deployed prior to initialconfiguration, and this final set of operating parameters may be sent tothe device 102 after deployment.

After initial configuration, the GPS tracking device 102 is deployed(Step 508) to a location remote from the host server 108, per thedesired application, and rendered operational. In the example GPStracking application, the device 102 is attached or mounted to anotherapparatus/device (commonly referred to as an “asset”) for tracking. Inthis application, the asset and device 102 are mobile and typically movebetween various remote locations.

Once operational, the GPS tracking device 102 executes one or moreoperational program(s) or process(es) in accordance with its intendedapplication and the configured set of parameters (an operating mode).During operation, the device 102 collects information related to powerconsumption (power consumption data) (Step 510). More specifically, thenumber of times each state is entered/exited, the amount of time spentin each state, the quantity of occurrences of each exit criteria (e.g.,event timeout or geofence violation) and other power affecting activity(e.g., temperature at time of operations or distance from GSM celltower), is monitored and stored in memory 128. This data or informationis referred to as the historical power consumption data. This processmay operate as a state machine (in accordance with the state diagramshown in FIG. 2) and/or as a separate task within a multi-taskenvironment. In other embodiments, this procedure may be as simple asdetecting and storing the number of times each relevant event, processor task is attempted and/or successfully completed. In yet otherembodiments, this procedure may be accomplished by measuring currentconsumption directly, such as with a coulomb counter, providing evenmore precise power consumption measurements.

Now referring to FIG. 7, there is a more detailed diagram illustratingthe monitoring and collection of the historical power consumption data.

Data collection for a particular state(n) begins when entry (i.e.,transition) into state(n) is detected (Step 700). A state(n) counter isincremented (Step 702) and a timer is started (Step 704). At some point,an exit (i.e., transition) out of state(n) is detected (Step 706). Thetimer is stopped (Step 708) and the timer value is added to anaccumulated total time for state (n) (Step 710). As will be appreciated,the counter(s) may be implemented utilizing any suitable circuitryand/or firmware/software, such as one or more dedicated registers orother memory storage locations. Similarly, the timer(s) may beimplemented utilizing any suitable circuitry and/or firmware/software.It will be understood that the number of states “n” depend on thespecific configuration of the power consumption model and state diagramconfigured for the device 102.

During device operation, the historical power consumption data is sentor transmitted to the remote host server 108 (Step 512). Transmissionmay occur periodically, as programmed, in response to a request receivedfrom the host server 108 or in response to the occurrence of anparticular event. In one embodiment, the historical power consumptiondata may be transmitted wirelessly or via wireline (or combinationthereof). In another embodiment, this data is transmitted from thedevice 102 and stored in an external storage device (not shown) via anelectrical interface or short-range wireless interface (infrared,BlueTooth, WiFi, etc.) configured in the device 102. The externalstorage device may then be delivered to the remote host server 108 anddownloaded thereto, or may be taken to a remote terminal (not shown)operable for downloading the data to the server.

In another embodiment, the GPS tracking device 102 may be programmedwith the power consumption model and the predetermined power consumptionvalues for each state/process/function/task. In this implementation, theGPS tracking device may calculate the “observed” real-time consumptionof power based on the collected historical power consumption value, andthe power consumption data sent to the host server 108 may be thiscalculated observed power consumption.

The server 108 receives the historical power consumption data andcalculates the “observed” power consumption for device 102. Thiscalculation is based on the programmed power consumption model, thepredetermined power consumption values for eachstate/process/function/task and the historical power consumption datareceived from the device 102. For example, the total amount of time(and/or number of times the actions/tasks are performed) measured forthe device 102 to perform the various actions/tasks, such as MOTIONSENSOR, GPS FIX, WAIT FOR OUTSIDE GEOFENCE, MODEM CONNECT, and DATATRANSFER (as described in detail herein), may be utilized to determinean average time to perform the action/task (or total time for thatactivity, such as IDLE state). Then, based on this, the observed powerconsumption may be calculated. This may be displayed through the GUI 400or other output means.

The host server 108 may identify the device 102 and retrieve the currentset of operating parameters that were previously stored in the hostserver at initial configuration (or reconfiguration). Alternatively, thedevice's current set of operating parameters may be transmitted from thedevice 102 along with the historical power consumption data. Based onthe current operating parameters, the calculated observed powerconsumption, the programmed power consumption model, the predeterminedpower consumption values for each state/process/function/task and thehistorical power consumption data received from the device 102, theobserved battery life may be calculated (Step 514). The observed batterylife indicates the amount of total life left for the battery undercurrent device conditions (historical data and currently programmedoperating parameters). As will be appreciated, the values of theobserved power consumption, the observed battery life, and the relevantoperational parameters may be initially and/or continuously displayed tothe user through the GUI 400 (or other output device) during thisprocess.

Initially, the projected battery life equals the observed battery life.In the event the projected battery life is acceptable (e.g., meets orexceeds the originally desired battery life at initial configuration ora newly determined desired life), then no further action is required inorder to meet the projected battery life and the device 102 may continueoperating in accordance with its current set of operating parameters.

If the new projected battery life is unacceptable and does not meet thedesired battery life (e.g., the originally desired battery life atinitial configuration or a newly determined desired life), simulation(s)of the expected or projected power consumption of the device 102 areperformed using one or more sets of modified operating parameters (Step516). In accordance with the teachings herein, the user sets the desiredoperating parameters and a new projected battery life is calculated.Once determined, the projected battery life may be acceptable orunacceptable. If acceptable, the current modified set of parametersbecomes final and the device 102 is ready for re-configuration. Ifunacceptable, one or more of the same or other parameters may bemodified.

The user may modify one or more parameters within the current set ofparameters to generate a second or modified set of parameters via theGUI 400 (illustrated in FIGS. 4A-D), and a new projected battery life iscalculated and displayed (or otherwise output or conveyed to the user).As will be appreciated, one or more parameters may be changed prior torecalculation of the projected battery life. As operating parameters aremodified, the user sees (in the display) the effect the changedparameter(s) have on the projected battery life—thus enabling simulationof any number of different device operational scenarios for device 102for future operation.

Through simulation encompassing various iterations and recalculationsusing different sets of operating parameters or modified parameter(s)(one or more), it is expected that a final set of operating parameterswill be determined which meet the desired battery life. It will beunderstood that a single or multiple parameters may be modified at onetime. Further, the relevant operational parameters may be initiallyand/or continuously displayed to the user through the GUI 400 (or otheroutput device) during this process. Once a final set of operatingparameters is determined, this set of parameters is associated with theunique identifier for the device 102 and stored in memory 308 within thehost server 108 for later use. Referring to FIG. 8, there is shown aflow diagram illustrating in more detail the simulation process anddetermination of a final set of operating parameters, as describedabove, for re-configuration of the device 102 (controlling powerconsumption).

The device 102 is then re-configured with a new or modified operationalset of parameters (Step 518) which is stored in the settings 118 portionof the memory 128. Referring to FIG. 9, there is shown a flow diagramillustrating in more detail the process for re-configuring the device102 (for controlling power consumption), which may be implemented oraccomplished in any suitable manner, including those describedpreviously (with respect to initial configuration).

Typically, the device 102 is deployed in the field. In this event, theentire set of modified operating parameters or only the modifiedparameters are sent from the host server 108 to the device 102 (Step900). This data may be transmitted wirelessly or via wireline (orcombination thereof). In another embodiment, this data is transmittedfrom the host server 108 and stored in an external storage device (notshown) via an electrical interface or short-range wireless interface(infrared, BlueTooth, WiFi, etc.) configured in the host server 108. Theexternal storage device may then be delivered to the GPS tracking device102 and downloaded thereto (in the same or similar manner). The modifiedparameter(s) are received at the device 102 (Step 902) and stored in thesettings 118 portion of the memory 128 (Step 904). The device 102operates in accordance with the modified parameter(s) (Step 906) (anoperating mode) to control power consumption in the device 102.

The following is an example illustrating a method of configuring (orre-configuring) operating parameters of the GPS tracking device 102 toachieve a given power consumption rate (resulting in a determinedbattery life). The reporting scenario is as follows: (1) the locationreport is to be transmitted to a host server every hour for the entirelife of the battery, (2) the location report includes GPS location data,and (2) this date is transferred over a GSM network (wireless). Forsimplicity, power consumption in the IDLE state is assumed to be 0 mA,and it is assumed that no timeout conditions occur.

The device parameters are:

-   -   Battery Power Capacity—1000 mA-hours    -   GPS Acquisition Power (GPS FIX)—50 mA per second    -   GPS Location Power (WAIT FOR OUTSIDE GEOFENCE)—25 mA per second    -   GSM Registration (MODEM CONNECT) Power—150 mA per second    -   GSM Data Transfer (DATA TRANSFER) Power—100 mA per second        The theoretical values of the environmental parameters are:    -   Average GPS Acquisition Time—80 seconds    -   Average GPS Location Time—10 seconds    -   Average GSM Registration Time—90 seconds    -   Average GSM Data Transfer Time—10 seconds        After the device has been deployed, the actual environmental        parameters are:    -   Average GPS Acquisition Time—160 seconds    -   Average GPS Location Time—20 seconds    -   Average GSM Registration Time—180 seconds    -   Average GSM Data Transfer Time—20 seconds        These actual environmental parameters are calculated by dividing        the total measured time in specific states by the number of        occurrences of that state (the underlying data is generated by        the GPS tracking device 102 and stored therein).

In all calculations, a constant voltage is assumed, so all powercalculations will be based upon current only.

Based upon the theoretical environmental parameters, the amount ofcurrent required per report is:(50 mA*80 sec)+(25 mA*10 sec)+(150 mA×90 sec)+(100 mA×10 sec)=18,750mA-sec per report.With a 1000 A-hour battery, the device will theoretically operate for:(1000 ma-hour×3600 sec/hour)/18,750 mA-sec per report=192 reports.With one report per hour, this corresponds to 192 hours, or eight (8)days.

After the device has been fielded one (1) day, or 24 reports, the actualparameters are measured. The observed battery life is:(50 mA*160 sec)+(25 mA*20 sec)+(150 mA×180 sec)+(100 mA×20 sec)=37,500mA-sec per report.With a 1000 A-hour battery, the device with actually operate for:(1000 mA-hour×3600 sec/hour)/37,500 ma-sec per report=96 reports.With one report per hour, this corresponds to 96 hours, or four (4)days. Since one (1) day has already expired, 25% of the battery powerhas been consumed (250 mA-h), and 75% of the battery power is remaining(750 mA-h). The user wishes to make the battery operate for another six(6) days, but at current settings the device will only operate foranother three (3) days. In order to achieve this, the user utilizes thehost server 108 to modify the reporting interval to the point that theprojected battery life is six (6) more days, or seven (7) days total. Bymanipulating device operating parameters within the program within thehost server 108, a setting of two (2) hours is attempted. With thissetting, the projected battery life is:(750 mA-h×3600 sec/hour)/(37,500 mA-sec per report)=720 reports.Since this meets the operational objective(s), the device 102 isreprogrammed (as described herein) to the new reporting interval of two(2) hours.

As will be appreciated, the above example is relatively simple, and inmost applications, the desired battery life will be on the order ofseveral months to several years.

In some embodiments, some or all of the functions or processes of theone or more of the elements and devices described herein are implementedor supported by a computer program that is formed from computer readableprogram code and that is embodied in a computer readable medium. Thephrase “computer readable program code” includes any type of computercode, including source code, object code, and executable code. Thephrase “computer readable medium” includes any type of medium capable ofbeing accessed by a computer, such as read only memory (ROM), randomaccess memory (RAM), a hard disk drive, a compact disc (CD), a digitalvideo disc (DVD), or any other type of memory.

It may be advantageous to set forth definitions of certain words andphrases used throughout this patent document. The terms “include” and“comprise,” as well as derivatives thereof, mean inclusion withoutlimitation. The term “or” is inclusive, meaning and/or. The phrases“associated with” and “associated therewith,” as well as derivativesthereof, mean to include, be included within, interconnect with,contain, be contained within, connect to or with, couple to or with, becommunicable with, cooperate with, interleave, juxtapose, be proximateto, be bound to or with, have, have a property of, or the like.

While this disclosure has described certain embodiments and generallyassociated methods, alterations and permutations of these embodimentsand methods will be apparent to those skilled in the art. Accordingly,the above description of example embodiments does not define orconstrain this disclosure. Other changes, substitutions, and alterationsare also possible without departing from the spirit and scope of thisdisclosure, as defined by the following claims.

1. A method for controlling power consumption in a battery-operated device comprising a battery, a processor and memory, the method comprising: operating the battery-operated device in accordance with a set of operating parameters; monitoring operation of the battery-operated device and generating power consumption data; sending the generated power consumption data to a remote location; receiving at least one modified operating parameter from the remote location and storing in the memory; operating the battery-operated device in accordance with the at least one modified operating parameter, including determining a location of the battery-operated device and transmitting the determined location over a data network to a remote location.
 2. The method in accordance with claim 1 wherein the power consumption data comprises at least a one of a number of times an event has occurred during a predetermined time period and an amount of time spent performing an event during a predetermined time period.
 3. The method in accordance with claim 1 wherein the power consumption data comprises: first power consumption data generated in response to a first event occurring one or more times during a predetermined time period; second power consumption data generated in response to a second event occurring one or more times during the predetermined time period; and third power consumption data generated in response to a third event occurring one or more times during the predetermined time period.
 4. The method in accordance with claim 1 wherein transmitting the determined location comprises wireless transmitting.
 5. The method in accordance with claim 1 wherein monitoring operation of the battery-operated device and generating power consumption data further comprises: implementing a state machine process that monitors device operation, the state machine process represented by a state diagram having a plurality of states, and wherein each state is associated with a predetermined function performed by the device.
 6. The method in accordance with claim 5 wherein the plurality of states includes an IDLE state, a GPS FIX state and a DATA TRANSFER state.
 7. The method in accordance with claim 1 wherein monitoring operation of the battery-operated device and generating power consumption data further comprises: counting a number of times a first event is performed; measuring an amount of time spent performing the first event; counting a number of times a second event is performed; and measuring an amount of time spent performing the second event.
 8. A battery-operated device comprising: a battery for supplying power to the device; memory operable for storing a set of operating parameters; a processor configured to: operate the battery-operated device in accordance with the set of operating parameters, monitor operation of the battery-operated device and generate power consumption data, send the generated power consumption data to a remote location, receive at least one modified operating parameter from the remote location and storing in the memory, and operate the battery-operated device in accordance with the at least one modified operating parameter; a location determining device operable for determining a location of the battery-operated device; and a communications module operable for transmitting the determined location over a data network to a remote location.
 9. The battery-operated device in accordance with claim 8 wherein the power consumption data comprises at least a one of a number of times an event has occurred during a predetermined time period and an amount of time spent performing an event during a predetermined time period.
 10. The battery-operated device in accordance with claim 8 wherein the power consumption data comprises: first power consumption data generated in response to a first event occurring one or more times during a predetermined time period; second power consumption data generated in response to a second event occurring one or more times during the predetermined time period; and third power consumption data generated in response to a third event occurring one or more times during the predetermined time period.
 11. The battery-operated device in accordance with claim 8 wherein the communications module is operable for transmitting wirelessly.
 12. The battery-operated device in accordance with claim 8 wherein the processor is further operable for implementing a state machine process that monitors device operation, the state machine process represented by a state diagram having a plurality of states, and wherein each state is associated with a predetermined function performed by the device.
 13. The battery-operated device in accordance with claim 12 wherein the plurality of states includes an IDLE state, a GPS FIX state and a DATA TRANSFER state.
 14. The battery-operated device in accordance with claim 8 further comprising: a counter operable for counting a number of times a first event occurs; a first time measuring device operable for measuring an amount of time spent performing the first event; a second counter operable for counting a number of times a second event occurs; and a second time measuring device operable for measuring an amount of time spent performing the second event.
 15. A global position system (GPS) tracking device comprising: a battery for supplying power to the device; memory configured to store a set of operating parameters; a GPS module configured and operable for receiving communication signals from one or more GPS satellites and calculating location information of the device; a network communications module configured to transmit and receive communications between a data network and the device; a processor operable for: operating the battery-operated device in accordance with the set of operating parameters, monitoring operation of the battery-operated device and generating power consumption data, sending, via the network communications module, the generated power consumption data to a remote location, sending, via the network communications module, the location information to a remote location, receiving at least one modified operating parameter from the remote location receiving the power consumption data and storing in the memory, and operating the battery-operated device in accordance with the at least one modified operating parameter.
 16. The global position system (GPS) tracking device in accordance with claim 15 wherein operation of the battery-operated device in accordance with the at least one modified operating parameter reduces power consumption in the device.
 17. The global position system (GPS) tracking device in accordance with claim 15 wherein the processor is further operable for implementing a state machine process that monitors device operation, the state machine process represented by a state diagram having a plurality of states, and wherein each state is associated with a predetermined function performed by the device.
 18. The global position system (GPS) tracking device in accordance with claim 15 wherein the battery has a first battery life when the device operates in accordance with the set of operating parameters and the battery has a second battery life greater than the first battery life when the device operates in accordance with the received at least one modified operating parameter.
 19. A method for controlling power consumption in a battery-operated device comprising a battery, a processor and memory, the method comprising: operating the battery-operated device in accordance with a set of operating parameters; monitoring operation of the battery-operated device and generating power consumption data, the monitoring operation and generating comprising implementing a state machine process that monitors device operation, the state machine process represented by a state diagram having a plurality of states, and wherein each state is associated with a predetermined function performed by the device, and the plurality of states includes an IDLE state, a GPS FIX state and a DATA TRANSFER state; sending the generated power consumption data to a remote location; receiving at least one modified operating parameter from the remote location and storing in the memory; and operating the battery-operated device in accordance with the at least one modified operating parameter.
 20. A method for controlling power consumption in a battery-operated device comprising a battery, a processor and memory, the method comprising: operating the battery-operated device in accordance with a set of operating parameters; monitoring operation of the battery-operated device and generating power consumption data, the monitoring comprising: counting a number of times a first event is performed, measuring an amount of time spent performing the first event, counting a number of times a second event is performed, and measuring an amount of time spent performing the second event; sending the generated power consumption data to a remote location; receiving at least one modified operating parameter from the remote location and storing in the memory; and operating the battery-operated device in accordance with the at least one modified operating parameter.
 21. A battery-operated device comprising: a battery for supplying power to the device; memory operable for storing a set of operating parameters; and a processor configured to: operate the battery-operated device in accordance with the set of operating parameters, monitor operation of the battery-operated device and generate power consumption data, including implement a state machine process that monitors device operation, the state machine process represented by a state diagram having a plurality of states, and wherein each state is associated with a predetermined function performed by the device, and the plurality of states includes an IDLE state, a GPS FIX state and a DATA TRANSFER state, send the generated power consumption data to a remote location, receive at least one modified operating parameter from the remote location and storing in the memory, and operate the battery-operated device in accordance with the at least one modified operating parameter.
 22. A battery-operated device comprising: a battery for supplying power to the device; memory operable for storing a set of operating parameters; a processor configured to: operate the battery-operated device in accordance with the set of operating parameters, monitor operation of the battery-operated device and generate power consumption data, send the generated power consumption data to a remote location, receive at least one modified operating parameter from the remote location and storing in the memory, and operate the battery-operated device in accordance with the at least one modified operating parameter; a counter operable for counting a number of times a first event occurs; a first time measuring device operable for measuring an amount of time spent performing the first event; a second counter operable for counting a number of times a second event occurs; and a second time measuring device operable for measuring an amount of time spent performing the second event. 